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Prototype Prescribing Outlier Dashboard for Wallasey Medical Centre

At OpenPrescribing we are piloting a number of data-driven approaches to identify unusual prescribing and collect feedback on this prescribing to inform development of new tools to support prescribers and organisations to audit and review prescribing. These pilot results are provided for the interest of advanced users, although we don't know how relevant they are in practice. There is substantial variation in prescribing behaviours, across various different areas of medicine. Some variation can be explained by demographic changes, or local policies or guidelines, but much of the remaining variation is less easy to explain.

The DataLab is keen to hear your feedback on the results. You can do this by completing the following survey or emailing us at [email protected]. Please DO NOT INCLUDE IDENTIFIABLE PATIENT information in your feedback. All feedback is helpful, you can send short or detailed feedback.

This report has been developed to automatically identify prescribing patterns at a chemical level which are furthest away from “typical prescribing” and can be classified as an “outlier”. We calculate the number of prescriptions for each chemical in the BNF coding system, the count of all prescriptions within that chemical's BNF subparagraph, for prescriptions dispensed between June 2021 and December 2021. We then calculate the ratio of these counts along with the mean and standard deviation of those ratios across all Practices. From this we can calculate the “z-score”, which is a measure of how many standard deviations a given Practice is from the population mean. We then rank your “z-scores” to find the top 10 results where prescribing is an outlier for prescribing higher than its peers and those where it is an outlier for prescribing lower than its peers.

For each outlier chemical, a kernel density estimation plot of all Practice's chemical:subparagraph ratios is provided, with this Practice's ratio overlaid in red.

It is important to remember that this information was generated automatically and it is therefore likely that some of the behaviour is warranted. This report seeks only to collect information about where this variation may be warranted and where it might not, to inform research on this topic. Our full analytical method code is openly available on GitHub here.

This is a new, experimental feature. We'd love to .

Prescribing where Wallasey Medical Centre is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Pilocarpine nitrate 8 Treatment of glaucoma 372 0.02 0.00 0.00 7.51
Gemfibrozil 4 Lipid-regulating drugs 1,633 0.00 0.00 0.00 6.72
Nizatidine 1 H2-Receptor antagonists 1 1.00 0.10 0.16 5.76
Formoterol fumarate 11 Selective beta(2)-agonists 319 0.03 0.00 0.01 5.16
Amisulpride 28 Antipsychotic drugs 132 0.21 0.03 0.04 4.93
Balsalazide sodium 16 Aminosalicylates 89 0.18 0.02 0.03 4.89
Sodium fusidate 13 Antibacterial preparations also used systemically 51 0.25 0.02 0.05 4.43
Prednisolone sodium phosphate 12 Corticosteroids 24 0.50 0.07 0.10 4.35
Nitrazepam 13 Hypnotics 55 0.24 0.04 0.05 4.18
Triamcinolone acetonide 6 Drugs used in nasal allergy 85 0.07 0.01 0.02 4.15

Prescribing where Wallasey Medical Centre is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Famotidine 0 H2-Receptor antagonists 1 0.00 0.81 0.21 -3.86
    Fluconazole 3 Triazole antifungals 8 0.38 0.85 0.13 -3.56
    Carbimazole 11 Antithyroid drugs 19 0.58 0.93 0.10 -3.41
    Colecalciferol 361 Vitamin D 409 0.88 0.96 0.02 -3.30
    Co-cyprindiol (Cyprote acetate/ethinylestradiol) 3 Oral preparations for acne 5 0.60 0.98 0.13 -2.99
    Acamprosate calcium 0 Alcohol dependence 2 0.00 0.83 0.31 -2.69
      Furosemide 63 Loop diuretics 97 0.65 0.85 0.09 -2.30
      Codeine phosphate 0 Cough suppressants 2 0.00 0.74 0.33 -2.22
        Doxycycline hyclate 38 Tetracyclines 86 0.44 0.70 0.12 -2.03
        Donepezil hydrochloride 8 Drugs for dementia 64 0.12 0.49 0.18 -1.98